Miriam Hauptman
miriam-hauptman.bsky.social
Miriam Hauptman
@miriam-hauptman.bsky.social
PhD Candidate, Psychological & Brain Sciences, Johns Hopkins University
concepts | language | plasticity | development | neuroscience
https://m-hauptman.github.io/
Reposted by Miriam Hauptman
Thanks @miriam-hauptman.bsky.social for sharing your work with us! How people learn about the visual world from language is mediated through causal models. Both sighted and blind people infer how many colors an object has based on how color ➡️ function.

📃 m-hauptman.github.io/files/Hauptm...
January 22, 2026 at 9:11 PM
New paper with Marina Bedny out in eLife (elifesciences.org/articles/101...). Main takeaway: Different kinds of causal knowledge are supported by different semantic brain networks - consistent with the "intuitive theories" framework from developmental psychology. 1/
Animacy semantic network supports causal inferences about illness
Making causal inferences about illness, compared to making causal inferences about mechanical breakdown and reading causally unconnected sentences, activates a semantic brain network implicated in the conceptual representation of animate entities (e.g. people, animals).
elifesciences.org
November 20, 2025 at 10:15 PM
Reposted by Miriam Hauptman
Excited to share new work with @hleemasson.bsky.social , Ericka Wodka, Stewart Mostofsky and @lisik.bsky.social! We investigated how simultaneous vision and language signals are combined in the brain using naturalistic+controlled fMRI. Read the paper here: osf.io/b5p4n
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September 24, 2025 at 7:46 PM